John Henao
Senior AI ML Scientist at Universitätsklinik Balgrist
Zurich, Zurich, Switzerland
Summary
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Senior🎓
Top SchoolJohn Henao is a Senior AI/ML Scientist with nine years of experience building data-driven and distributed deep learning systems for healthcare, currently leading AI efforts at Universitätsklinik Balgrist. His postdoctoral work produced an AI-powered radiology search engine for severity and chronic prognosis of lung disease, while his PhD and MSc focused on energy-efficient, low-power deployment of medical diagnostics on heterogeneous computing clusters. He specializes in representation learning, risk prediction for clinical outcomes (length of stay, mortality), and integrating multi-objective optimization with AutoML to shrink model search spaces. John's background in parallel and distributed programming, performance modeling, and HPC energy-aware scheduling lets him translate research prototypes into scalable hospital-ready solutions. He combines clinical translational training from the University of Bern with deep technical expertise, enabling pragmatic innovations at the intersection of ML, embedded systems and healthcare operations. A less obvious strength is his consistent focus on reducing operational cost and energy footprint of AI deployments, not just predictive accuracy.
10 years of coding experience
11 years of employment as a software developer
Master of Advanced Studies in Translational Medicine and Biomedical Entrepreneurship, Translational Medicine and Biomedical Entrepreneurship, Master of Advanced Studies in Translational Medicine and Biomedical Entrepreneurship, Translational Medicine and Biomedical Entrepreneurship at University of BernMSc. in Systems Engineering and Informatics, High Performance Computing, Energy-Efficient and Parallel Processing Heterogeneous Architectures, MSc. in Systems Engineering and Informatics, High Performance Computing, Energy-Efficient and Parallel Processing Heterogeneous Architectures at Universidad Industrial de SantanderIT Systems Engineer, Distributed Computing and Grid Computing, IT Systems Engineer, Distributed Computing and Grid Computing at Unidad Central del Valle del CaucaPh.D. in Computer Science, Representation Learning, Deep Learning, Health Care Model and Embedded Low-Power Massively Parallel, Ph.D. in Computer Science, Representation Learning, Deep Learning, Health Care Model and Embedded Low-Power Massively Parallel at Université Côte d'Azur
Github Skills (12)
segmentation10
heterogeneous8
consumption7
multi-gpu6
machine-learning4
monitoring4
3d4
performance-monitoring3
jetson3
cuda3
gpu3
data-mining1
Programming languages (5)
Github contributions (5)
jagh/RadiologyAI-Engine
Oct 2020 - Sep 2022
AI-based Inverse Image Search Engine for Radiology
Contributions:32 PRs, 99 pushes, 4 branches in 1 year 11 months
image-segmentationcomputer-visionsearch-engineimage-searchimage-search-engine
IADBproject/diagnosenet
Nov 2018 - Nov 2019
Green framework for tailoring DNN models on heterogeneous computing
Contributions:296 commits, 70 PRs, 229 pushes in 1 year
heterogeneous-computingheterogeneousmachine-learningcomputingtailoring
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